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In this paper, we presented our recently developed DREENA-C framework, whichis a fully optimized computational suppression procedure based on ourstate-of-the-art dynamical energy loss formalism in constant temperature finitesize QCD medium. With this framework, we for the first time, generated joint$R_{AA}$ and $v_2$ predictions within our dynamical energy loss formalism. Thepredictions are generated for both light and heavy flavor probes, and differentcentrality regions in $Pb+Pb$ collisions at the LHC, and compared with theavailable experimental data. Despite the fact that DREENA-C does not containmedium evolution (to which $v_2$ is largely sensitive) and the fact that otherapproaches faced difficulties in explaining $v_2$ data, we find that DREENA-Cleads to qualitatively good agreement with this data, though quantitatively,the predictions are visibly above the experimental data. Intuitive explanationbehind such results is presented, supporting the validity of our model, and itis expected that introduction of evolution in the ongoing improvement of DREENAframework, will lead to better joint agreement with $R_{AA}$ and $v_2$ data,and allow better understanding of the underlying QCD medium.

Joint $R_{AA}$ and $v_2$ predictions for $Pb+Pb$ collisions at the LHC within DREENA-C framework